Week 1 research paper
Article review
The growth in technology has increased complexity in social technology. The use of technology is improving the way people and organizations do things. This article recognizes this fact through its introduction and explanation. The global growth in technology has popularized the use of microprocessors, enabling the completion of tasks in a more efficient way than traditional techniques. Today, artificial intelligence has been used to create street lights that control traffic and allow pedestrians to cross the roads without fear. This introduction is substantial since it gives the reader a broader perspective of what complex systems are and how they are positively used in advancing human life (Benbya, Ning, Tanriverdi & Youngjin, 2020). There are key terms such as embedded meaning inclusion of digital abilities encoding in objects, connected meaning the link of digital capabilities together with the users through the sociotechnical web connections, editable meaning the digital technologies are editable, communicable meaning they can be communicated when a given set of protocols is followed. Reprogrammable meaning upon separation of software and hardware, the digital technologies can be reprogrammed to the server for the intended purpose. This is a kind gesture that gives the reader a glimpse of the technical terms that will be used throughout the paper.
The introduction of complex systems is aimed at simplifying tasks and reducing the human effort in working. Through digital technologies, sociotechnical systems allow for mitigation and intensification of complexities, which cannot be done through human agency. Though digital solutions such as data analytics can offer the best solutions to complex situations, they can also restrict the production of the intended solutions through the production of new digitally-enabled interactions, limiting the intended solutions (Benbya, Ning, Tanriverdi & Youngjin, 2020). These challenges have been witnessed in the present information systems through researchers by experts. To allow for a better understanding of these factors and issues, this paper has discussed the various theories bordering the challenges, emerging technologies, and possible implications to organizations. This is the right way to back up a research paper since all the required evidence, and full explanations are provided. Through the areas, the authors were also able to cite the researchers and experts who contributed to the theories and worked towards ensuring the theories are valid through a series of researches.
The emergency theory has been used to explain the complexity of sociotechnical digital technologies that evolve to create new interactive features that were unexpected. This creates a dynamic process that may become a problem for quite some time until they self-organize. Due to this, the article comes up with two groups: a composition that brings together various aspects such as feelings and perceptions besides behavior within an organization. The compilation, on the other hand, discusses the differences within the organization. The digital technologies using the system behavior tool allow scholars to use the two groups in understanding the behaviors within the organization during the emergency stage. The emergency outcomes from the process include the IS alignment, new configurations in firms, creation of online order besides technology affordance collaborations, and participant dimension. The second theory was coevolution, which discusses the evolution of entities due to emerging technologies. Chaos discusses the anomalies created in the atmosphere as a result of using digital technologies.
The use of digital technologies poses challenges that require solutions due to the implications they bring to organizations (Benbya, Ning, Tanriverdi & Youngjin, 2020). a few emerging technologies have been used for this purpose. The approaches include longitudinal qualitative case studies, morphogenetic method, statistical approach. Though these technologies can perform their work as intended, the ever-growing challenges have rendered them useless. In effect, new technologies have emerged, including agent-based simulation, dynamic network modeling using graph theories, and qualitative-comparative analysis. The discussion from the section is well structured. Through the explanation, the authors explained the various methods used as digital technologies had been discussed first before presenting the alternative approaches. Also, the reasons for proposing the other methods have been well explained, which allows for a better understanding of the paragraphs and the article at large.
The complexities in sociotechnical digital technologies have created both a positive and negative implication on organizations. This comes in various forms. First is the lack of prediction feasibility in complex socio-technical structures, nature of causality, and conditions under which researchers circumscribed the borders of complex sociotechnical systems in their studies. These challenges have limited the benefits organization accrue from the use of sociotechnical advancement, which calls for solutions to ensure that the benefits overrule the issues.
The authors offer solutions that range from chaotic theories, prediction, to durability of the new knowledge (Benbya, Ning, Tanriverdi & Youngjin, 2020). The chaotic theory discusses the various stages that new technologies go through. The stages avail all the information relevant to understanding the evolution of any new technology. This gives the user ability to know, use prediction in the learning of the possible outcomes, and adding durability to the positives from the technology. The paper, which concluded by adding additional researches and findings from the papers, has provided concrete explanations, thus facilitating a better understanding for the readers and other researchers.
Reference
Benbya, H., Ning Nan, Tanriverdi, H., & Youngjin Yoo. (2020). Complexity and Information Systems Research in the Emerging Digital World. MIS Quarterly, 44(1), 1– 17. https://doi.org/10.25300/MISQ/2020/13304 http://search.ebscohost.com/login.aspx?di rect=true&AuthType=shib&db=buh&AN=141995164&site=eds-live&custid=s8501869&groupid=main&profile=eds_new